In recent years, the importance of computer security has increased due to the rapid
advancement of digital technology, widespread Internet use, and increased sophistication of …

Support vector machine (SVM) is a widely used and effective classifier. Its efficiency and
accuracy mainly depend on the exceptional feature subset and optimal parameters. In this …

In this paper, we propose a new feature selection approach with partially labeled training
examples in the multi-class classification setting. It is based on a new modification of the …

The gearbox has wide application in Industry 4.0 due to its power or motion transmission
flexibility. The most challenging task is to improve the accuracy of gearbox fault diagnostics …

Nondestructive detection of the nutritional parameters of pork is of great importance. This
study aimed to investigate the feasibility of applying hyperspectral image technology to …

Modeling and simulation have been extensively used to solve a wide range of problems in
structural engineering. However, many simulations require significant computational …

Objective. Voxel-wise visual encoding models based on convolutional neural networks
(CNNs) have emerged as one of the prominent predictive tools of human brain activity via …

In order to enhance the machining efficiency, batch-processing is widely used in computer
numerical control (CNC) milling machining. Each job in a batch requires a set of different …

In the application of sustainable Nature-based Solution (NbS) for coastal engineering, a
significant challenge lies in determining the effectiveness of these NbS approaches in …

The objective of Multiple-instance learning (MIL) is to learn a mapping function from weakly
labeled training data, the training data in MIL is arranged in the form of labeled bags, and …